Cargando…
Soft computing techniques for forecasting of COVID-19 in Pakistan
Novel Pandemic COVID-19 led globally to severe health barriers and financial issues in different parts of the world. The forecast on COVID-19 infections is significant. Demeanor vital data will help in executing policies to reduce the number of cases efficiently. Filtering techniques are appropriate...
Autores principales: | Naeem, Muhammad, Khan Mashwani, Wali, ABIAD, Mohammad, Shah, Habib, Khan, Zardad, Aamir, Muhammad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357447/ http://dx.doi.org/10.1016/j.aej.2022.07.029 |
Ejemplares similares
-
Forecasting COVID-19 in Pakistan
por: Ali, Muhammad, et al.
Publicado: (2020) -
Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio
por: Hamraz, Muhammad, et al.
Publicado: (2023) -
Comparative analysis of machine learning approaches to analyze and predict the COVID-19 outbreak
por: Naeem, Muhammad, et al.
Publicado: (2021) -
Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis
por: Jaffar, Farah, et al.
Publicado: (2022) -
Performance Evaluation of Soft Computing Approaches for Forecasting COVID-19 Pandemic Cases
por: Shoaib, Muhammad, et al.
Publicado: (2021)